Tag Archives: Traffic Modelling

As Melbournes train lines increase their frequency to keep up with demand the passengers certainly appreciate the shorter waiting time and less crowding, but could we do even better? Although a few years old the train station patronage data from PTV allows some insights into how passengers as getting to the stations and from that we can estimate what effect station closures or timetable changes might have on the network. Continue reading Faster Trains by Skipping and Closing Stations→

Armed with a model of vehicle interaction rates and the relative risk they present to each other it is possible to explore how shifting transport between modes would impact safety. Here we turn a focus on pedestrians and the impacts improvements in safety or segregation would have. Continue reading Unbundling for Walking→

The question was posed, how much mode share would non motorised transport need before we see an overall reduction in the road toll? With non motorised transport currently more dangerous per distance travelled than motorised transport any small shifts away from cars to bicycles or walking would result in an increase in the road toll, how can it be made safer? Continue reading Unbundling for Cycling→

From the previous look at fatality rates a simple linear model shows that increasing use of transport modes that pose the least threat to others (namely walking and cycling) would increase the total road toll as they as so vulnerable to the disproportionately dangerous motorised modes. The limitations of a first order model make it fail to predict the obvious extremely low road toll if all motorised traffic were to be eliminated and only non motorised modes remained. Thus a second order model that includes the relative rates of modes interactions on each other is needed and presented here. Continue reading Unhiding Unbundling→